Our research spans artificial intelligence, systems, and theory,
and it is well funded by federal, state, and industryl sources. Our
faculty work in muliti-disciplinary and newly emerging fields. The
possibilities are endless.

Research Highlights

Ken
Regan develops algorithms that detect cheating in chess
games. His software compares a player's moves to a database
of the player's typical gameplay, then makes an assessment of the
statistical likelihood of cheating. Dr. Regan frequently
consults at international chess matches.

Karthik
Dantu owns the vision component of the RoboBee Initiative,
led by the National Science Foundation and Harvard
University. The "eyes" that Dr. Dantu is integrating are
laser-powered sensors that enable the mechanical bees to orient
themselves in space.

Wenyao
Xu created AutoDietary—software
that tracks the unique sounds produced by food as people chew
it. AutoDietary, placed near the throat by a necklace
delivery system developed at China's Northeastern University, helps
users measure their caloric intake.

Focuses on efficient experimental and theoretical solutions to
problems on state-of-the-art computational systems consisting of
large numbers of computational elements, including clouds,
clusters, grids, networks-of-workstations, massively parallel
supercomputers, and GPU-based systems. Efficient solutions
are developed to solve fundamental operations, as well as large
scientific problems that require expertise in computer science,
mathematics, and scientific or engineering disciplines.

Focuses on the interplay between multiple elements of cyber
technologies (such as sensing, computing, communications and
control), and physical systems or processes (including
infrastructures such as transportation and power) as well as human
factors.

Artificial Intelligence (AI) researchers now predict that
computers will be able to perform tasks that were once considered
the prerogative of human beings. They include tasks such as
driving trucks, translating languages, writing high school
essays, creating art, analyzing forensic evidence, and even work as
a surgeon. Although some of these goals are predicted to
happen over several decades, AI is concerned with principles
and algorithms that allow researchers to make such bold
predictions. Current methods focus on variants of deep
learning-- such as convolutional nets, recurrent nets, autoencoders
and adversarial networks-- as well as on the methods of
probabilistic graphical models.

Research in networking and distributed systems focuses on
enabling communication of and orchestrating coordination of a large
number of computing nodes. It spans the areas of cloud computing,
big data computing, and wireless and mobile computing.

Focuses on expanding approaches to teaching computing at all
levels (K-12 and University) and the outreach to promote computing
majors and careers. Addressing retention, diversity, and
persistence in computing through educational approaches are
targeted. Overall, the objective is developing a skilled and
diverse workforce in computing for the future.